Montel space
In functional analysis and related areas of mathematics, a Montel space, named after Paul Montel, is any topological vector space (TVS) in which an analog of Montel's theorem holds. Specifically, a Montel space is a barrelled topological vector space in which every closed and bounded subset is compact.
Definition
A Hausdorff locally convex topological vector space is called a semi-Montel space or perfect if every bounded subset is relatively compact.[note 1]
A topological vector space (TVS) has the Heine–Borel property if every closed and bounded subset is compact.
It is known that a subset of a TVS is compact if and only if it is complete and totally bounded.
A Montel space is a barrelled topological vector space with the Heine–Borel property. Equivalently, it is an infrabarrelled semi-Montel space.
Characterizations
A separable Fréchet space is a Montel space if and only if each weak-* convergent sequence in its continuous dual is strongly convergent.[1]
Sufficient conditions
- Semi-Montel spaces
A closed vector subspace of a semi-Montel space is again a semi-Montel space. The locally convex direct sum of any family of semi-Montel spaces is again a semi-Montel space. The inverse limit of an inverse system consisting of semi-Montel spaces is again a semi-Montel space. The Cartesian product of any family of semi-Montel spaces (resp. Montel spaces) is again a semi-Montel space (resp. a Montel space).
- Montel spaces
The strong dual of a Montel space is Montel. A barrelled quasi-complete nuclear space is a Montel space.[1] Every product and locally convex direct sum of a family of Montel spaces is a Montel space.[1] The strict inductive limit of a sequence of Montel spaces is a Montel space.[1] In contrast, closed subspaces and separated quotients of Montel spaces are in general not even reflexive.[1] Every Fréchet Schwartz space is a Montel space.[2]
Properties
Montel spaces are paracompact and normal.[3] Semi-Montel spaces are quasi-complete and semi-reflexive while Montel spaces are reflexive.
No infinite-dimensional Banach space is a Montel space. This is because a Banach space cannot satisfy the Heine–Borel property: the closed unit ball is closed and bounded, but not compact. Fréchet Montel spaces are separable and have a bornological strong dual. A metrizable Montel space is separable.[1]
Examples
In classical complex analysis, Montel's theorem asserts that the space of holomorphic functions on an open connected subset of the complex numbers has this property.
Many Montel spaces of contemporary interest arise as spaces of test functions for a space of distributions. The space C∞(Ω) of smooth functions on an open set Ω in ℝn is a Montel space equipped with the topology induced by the family of seminorms
for n = 1, 2, … and K ranges over compact subsets of Ω, and α is a multi-index. Similarly, the space of compactly supported functions in an open set with the final topology of the family of inclusions as K ranges over all compact subsets of Ω. The Schwartz space is also a Montel space.
Counter-examples
Every infinite-dimensional normed space is a barrelled space that is not a Montel space.[4] In particular, every infinite-dimensional Banach space is not a Montel space.[4] There exist Montel spaces that are not separable and there exist Montel spaces that are not complete.[4] There exist Montel spaces having closed vector subspaces that are not Montel spaces.[5]
Notes
- Recall that a subset S of a topological space X is called relatively compact is its closure in X is compact.
References
- Schaefer & Wolff 1999, pp. 194-195.
- Khaleelulla 1982, pp. 32-63.
- "Topological vector space". Encyclopedia of Mathematics. Encyclopedia of Mathematics. Retrieved September 6, 2020.
- Khaleelulla 1982, pp. 28-63.
- Khaleelulla 1982, pp. 103-110.
- Edwards, Robert E. (1995). Functional Analysis: Theory and Applications. New York: Dover Publications. ISBN 978-0-486-68143-6. OCLC 30593138.
- Hogbe-Nlend, Henri (1977). Bornologies and Functional Analysis: Introductory Course on the Theory of Duality Topology-Bornology and its use in Functional Analysis. North-Holland Mathematics Studies. 26. Amsterdam New York New York: North Holland. ISBN 978-0-08-087137-0. OCLC 316549583.
- Hogbe-Nlend, Henri; Moscatelli, V. B. (1981). Nuclear and Conuclear Spaces: Introductory Course on Nuclear and Conuclear Spaces in the Light of the Duality "topology-bornology". North-Holland Mathematics Studies. 52. Amsterdam New York New York: North Holland. ISBN 978-0-08-087163-9. OCLC 316564345.
- Jarchow, Hans (1981). Locally convex spaces. Stuttgart: B.G. Teubner. ISBN 978-3-519-02224-4. OCLC 8210342.
- Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
- Köthe, Gottfried (1969). Topological Vector Spaces I. Grundlehren der mathematischen Wissenschaften. 159. Translated by Garling, D.J.H. New York: Springer Science & Business Media. ISBN 978-3-642-64988-2. MR 0248498. OCLC 840293704.
- Köthe, Gottfried (1979). Topological Vector Spaces II. Grundlehren der mathematischen Wissenschaften. 237. New York: Springer Science & Business Media. ISBN 978-0-387-90400-9. OCLC 180577972.
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- Robertson, Alex P.; Robertson, Wendy J. (1980). Topological Vector Spaces. Cambridge Tracts in Mathematics. 53. Cambridge England: Cambridge University Press. ISBN 978-0-521-29882-7. OCLC 589250.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Schechter, Eric (1996). Handbook of Analysis and Its Foundations. San Diego, CA: Academic Press. ISBN 978-0-12-622760-4. OCLC 175294365.
- Swartz, Charles (1992). An introduction to Functional Analysis. New York: M. Dekker. ISBN 978-0-8247-8643-4. OCLC 24909067.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.
- Wilansky, Albert (2013). Modern Methods in Topological Vector Spaces. Mineola, New York: Dover Publications, Inc. ISBN 978-0-486-49353-4. OCLC 849801114.
- "Montel space", Encyclopedia of Mathematics, EMS Press, 2001 [1994]